Claude Report Skill — Development skill for Claude Code
A Claude Code skill that generates beautiful HTML reports instead of long terminal output.
How to install Claude Report Skill
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open MarcinDudekDev/claude-report-skill and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Claude Report Skill does
A Claude Code skill that generates beautiful HTML reports instead of long terminal output.
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README
/report — HTML reports for agent sessions
A Claude Code skill (usable by any agent that can run shell commands) that produces **self-contained, dark-themed HTML reports** instead of dumping long output into your terminal — plus a **standalone viewer** that makes those reports interactive: reply boxes, live task lists, one-click next-step cards, and archive/restore.

What you get
/reportskill — auto-triggers on long output; 5 report types (task-completion, research, audit, error-blocker, comparison) with a strict, accessible Aurora theme.bin/reportCLI — paths, indexing, archive/restore, the tiny task store, and the marker-wrapped blocks the viewer splices live.viewer/serve.py— a stdlib-only viewer (python3, no deps): report index, themed serving, per-task reply forms, a report-level reply box, "Do it" prompt cards,.mdlinkification, archive with unbreakable links.- Reply relay — replies are composed into self-describing messages and
appended to
replies.jsonl(+ stdout), or piped to any command you choose.
Zero dependencies beyond Python 3.9+.
Quick start (demo in one command)
./examples/make-demo.sh
That seeds a throwaway `REPORT_DIR` with a fictional **acme-widgets** report, three fake tasks, and starts the viewer on [http://127.0.0.1:8765](http://127.0.0.1:8765). Open the report and try the reply box, the per-task forms, and the **Do it** cards — everything lands in `$REPORT_DIR/replies.jsonl`.
Install
git clone && cd claude-report-skill
# 1. the skill (Claude Code)
mkdir -p ~/.claude/skills/report
ln -s "$PWD/SKILL.md" ~/.claude/skills/report/SKILL.md
# 2. the CLI + its shared module (keep them together)
mkdir -p ~/.local/bin
ln -s "$PWD/bin/report" "$PWD/bin/report_common.py" ~/.local/bin/
# 3. the viewer — run it from the repo, or copy viewer/ + bin/ somewhere
python3 viewer/serve.py
Make sure `~/.
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